Senior Data Analyst

United States
Nov 20, 2020
Required Education
Bachelors Degree
Position Type
Full time
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on Twitter , Facebook , Instagram , YouTube and LinkedIn .


The Senior Data Analyst will guide AbbVie's global quality organization by providing process knowledge and statistical expertise to drive data-driven decision making. The incumbent will determine the impact of manufacturing deviations on processes and products, evaluate the impact of process and device changes on quality attributes and customer complaints, and perform trend monitoring of manufacturing and complaint data. The individual will engage in process improvement opportunities that can lead to efficiencies such as product yield improvements, reductions of cycle time, and cost reduction, all within the framework of preserving product quality. Furthermore, the principal data analyst will drive the approaches and technology used for trend monitoring and data science initiatives in technical and quality areas.


  • Identify process improvement opportunities through data science, manufacturing site engagement, and applied global supply chain and process knowledge. Quantify potential savings versus costs, prioritize opportunities, and champion implementation.
  • Perform root cause analysis in support of complaint and process investigations. Guide teams through DMAIC process, communicate status during project execution, and document results.
  • Author/co-author/review/approve scientific reports and presentations to support and document process deviations/investigations and recommendations for corrective actions, determine impact in product quality, and support regulatory submissions. Report consumers vary but can include quality managers, senior management, internal technical groups, and regulatory agencies.
  • Establish commercial data footprints for commercial and pipeline products. Anticipate potential sources of manufacturing and post market issues based on FMEAs, supply chain variability, and process controls. Ensure critical data is available and linkable across geographically diverse manufacturing networks.
  • Perform ongoing monitoring and baseline activities to ensure that product quality trending complies with internal procedures and regulatory expectations.
  • Manage process performance metrics and actions/alerts generated from trend monitoring systems.
  • Work closely with product performance teams (PPTs) and BTS to build automated reporting systems that efficiently translate raw data into consumable information. Serve as a bridge between these groups to translate business needs into IT language and to help stakeholders leverage emerging information technologies.



  • Bachelor's degree in a quantitative field such as Advanced Analytics, Statistics, Engineering, Operational Research, Computer Science, or Econometrics AND/OR applied science field such as Chemistry, Pharmacy, Chemical Engineering, or Biology. Master's degree preferred.
  • 6+ years' business experience in business analytics, manufacturing data analytics, data mining, or statistical modeling in a cGMP related industry. Manufacturing life science experience is preferred.
  • Lean Six Sigma Greenbelt/Blackbelt certification is preferred.
  • Knowledge of global regulatory requirements for pharmaceutical, medical devices, and combination products. Knowledge of FDA Quality Systems, pharmaceutical products, and Medical Device Reporting regulations (21 CFR 803, 820 and 211) is preferred.
  • Ability to execute analytical investigations methodically while outputting reproducible insights and analyses.
  • Software experience - Demonstrated proficiency with at least one statistical programming package (e.g., R, SAS, JMP, Minitab). Familiarity in Python, SQL, relational databases (Teradata, Oracle etc.), and/or BI tools (PowerBI, Qliksense). Experience with data visualization/pipelining tools (e.g., Spotfire, Tableau, Pipeline Pilot etc.) and automated statistical process control platforms (e.g., Discoverant, Statistica, NWA, etc.) is preferred.
  • Strong problem solving and interpersonal skills and ability to work as part of a diverse team including data engineers, IT, and business analytics teams.
  • Strong communication skills, written and verbal, and strong attention to detail.

Significant Work Activities
Yes, 15 % of the Time
Job Type
Job Level Code
Equal Employment Opportunity
At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.